Riemannian Generalized Gaussian Distributions on the Space of SPD Matrices for Image Classification

Riemannian Generalized Gaussian Distributions on the Space of SPD Matrices for Image Classification

The space of symmetric positive definite (SPD) matrices, denoted as <inline-formula> <tex-math notation="LaTeX">$P_{m}$ </tex-math></inline-formula>, plays a crucial role in various domains, including computer vision, medical imaging, and signal processing. Its sign...

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Bibliographic Details
Main Authors: Zakariae Abbad, Ahmed Drissi El Maliani, Mohammed El Hassouni, Mohamed Tahar Kadaoui Abbassi, Lionel Bombrun, Yannick Berthoumieu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Symmetric positive definite matrices
generalized Gaussian distribution
texture
Riemannian geometry
Rao’s distance
Riemannian metric
Online Access:https://ieeexplore.ieee.org/document/10436648/

Internet

https://ieeexplore.ieee.org/document/10436648/

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